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On Conditional Tsallis Entropy [PDF]

open access: yesEntropy, 2021
There is no generally accepted definition for conditional Tsallis entropy. The standard definition of (unconditional) Tsallis entropy depends on a parameter α that converges to the Shannon entropy as α approaches 1.
Andreia Teixeira   +2 more
doaj   +8 more sources

Tsallis Entropy, Escort Probability and the Incomplete Information Theory

open access: yesEntropy, 2010
Non-extensive statistical mechanics appears as a powerful way to describe complex systems. Tsallis entropy, the main core of this theory has been remained as an unproven assumption. Many people have tried to derive the Tsallis entropy axiomatically. Here
Parvin Sadeghi   +3 more
doaj   +4 more sources

Further Properties of Tsallis Entropy and Its Application

open access: yesEntropy, 2023
The entropy of Tsallis is a different measure of uncertainty for the Shannon entropy. The present work aims to study some additional properties of this measure and then initiate its connection with the usual stochastic order. Some other properties of the
Ghadah Alomani, Mohamed Kayid
doaj   +3 more sources

On a new generalized Tsallis relative operator entropy

open access: yesMathematics in Applied Sciences and Engineering, 2023
In this paper, we present a generalization of Tsallis relative operator entropy defined for positive operators and we investigate some related properties.
Lahcen Tarik   +2 more
doaj   +2 more sources

Some Properties of Fractal Tsallis Entropy

open access: yesFractal and Fractional, 2023
We introduce fractal Tsallis entropy and show that it satisfies Shannon–Khinchin axioms. Analogously to Tsallis divergence (or Tsallis relative entropy, according to some authors), fractal Tsallis divergence is defined and some properties of it are ...
Vasile Preda, Răzvan-Cornel Sfetcu
doaj   +2 more sources

2D Tsallis Entropy for Image Segmentation Based on Modified Chaotic Bat Algorithm

open access: yesEntropy, 2018
Image segmentation is a significant step in image analysis and computer vision. Many entropy based approaches have been presented in this topic; among them, Tsallis entropy is one of the best performing methods.
Zhiwei Ye   +5 more
doaj   +3 more sources

Kernel Estimation of Cumulative Residual Tsallis Entropy and Its Dynamic Version under ρ-Mixing Dependent Data

open access: yesEntropy, 2021
Tsallis introduced a non-logarithmic generalization of Shannon entropy, namely Tsallis entropy, which is non-extensive. Sati and Gupta proposed cumulative residual information based on this non-extensive entropy measure, namely cumulative residual ...
Muhammed Rasheed Irshad   +3 more
doaj   +1 more source

Cumulative Residual Tsallis Entropy-Based Test of Uniformity and Some New Findings

open access: yesMathematics, 2022
The Tsallis entropy is an extension of the Shannon entropy and is used extensively in physics. The cumulative residual Tsallis entropy, which is a generalization of the Tsallis entropy, plays an important role in the measurement uncertainty of random ...
Mohamed S. Mohamed   +3 more
doaj   +1 more source

Some New Results Involving Past Tsallis Entropy of Order Statistics

open access: yesEntropy, 2023
This work focuses on exploring the properties of past Tsallis entropy as it applies to order statistics. The relationship between the past Tsallis entropy of an ordered variable in the context of any continuous probability law and the past Tsallis ...
Mansour Shrahili, Mohamed Kayid
doaj   +1 more source

A Quantitative Comparison between Shannon and Tsallis–Havrda–Charvat Entropies Applied to Cancer Outcome Prediction

open access: yesEntropy, 2022
In this paper, we propose to quantitatively compare loss functions based on parameterized Tsallis–Havrda–Charvat entropy and classical Shannon entropy for the training of a deep network in the case of small datasets which are usually encountered in ...
Thibaud Brochet   +11 more
doaj   +1 more source

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